There is always a tension between security, privacy, and convenience. With how the Internet works, there isn’t really a way - with current technology - of reliably catching content like that without violating everyone’s privacy.
Of course, there is also a lack of trust here (and there should be given the leaks about mass surveillance) that the ‘stop child porn powers’ would only be used for that and not simply used for whatever the powers that be wish to do with them.
The world bank isn’t involved so much in printing money - that’s central banks like the US Federal Reserve or European Central Bank.
They do love to force developing nations to adopt US-style capitalism by withholding loans for needed development projects. They also focus far too much on increasing GDP at all costs and do not give really any weight to increasing living standards or reducing inequality. Basically, think loans to institute Reaganomics and you won’t be too far off.
The loans pay for large capital projects (power plants, large-scale irrigation, etc) that are built by the state and then mandated to he handed over to private entities that then charge rents and extract wealth. Not every loan and program is bad, but there’s plenty to give pause when they are involved in a project.
Beyond making them look horrible, they were marching towards a court ruling against the forced arbitration clause.
Once there is a precedent for the clause being unenforceable, the clause ceases to be a deterrent to legal action - every claim would be litigated at the very least to settle the question of whether arbitration is required in a specific case.
FAF absolutely benefits from action spam, to the point where it breaks the game balance.
T1 assault bots lose to T1 tanks, and they are supposed to because they are half the price and much quicker to build. You can dance them around if you click enough and they will dodge the tank shells… a few micro’d bots can then defeat 10s of tanks. That swing in mass efficiency is already enough to decide the game on maps smaller than 20km.
RTS will always benefit from intensive micro because time is another resource. Doing more actions, assuming they are of positivity utility, gives an advantage over an opponent who does not.
An inherent flaw in transformer architecture (what all LLMs use under the hood) is the quadratic memory cost to context. The model needs 4 times as much memory to remember its last 1000 output tokens as it needed to remember the last 500. When coding anything complex, the amount of code one has to consider quickly grows beyond these limits. At least, if you want it to work.
This is a fundamental flaw with transformer - based LLMs, an inherent limit on the complexity of task they can ‘understand’. It isn’t feasible to just keep throwing memory at the problem, a fundamental change in the underlying model structure is required. This is a subject of intense research, but nothing has emerged yet.
Transformers themselves were old hat and well studied long before these models broke into the mainstream with DallE and ChatGPT.